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SimEvents® 2.2

Learn more about SimEvents® through product demos and online seminars that highlight features or application examples.
 

Communications


  Video Streaming Over Networks   NewIn this demonstration, we model a communication system that sends frames of video data over a channel. By dropping frames that wait too long to reach the end user, the model also illustrates how to use timeouts to implement point-to-point timing constraints.

  Ethernet Local Area Network   NewIn this demonstration, we simulate an Ethernet LAN with three computers and a shared channel operated at 10 Mbps. The MAC Controller block implements the CSMA/CD (Carrier Sense Multiple Access with Collision Detection) protocol.

  Selective-Repeat Automatic Repeat Request In this demonstration, we simulate a selective-repeat automatic repeat request (ARQ) system. Packets are created, transmitted over a channel and affected by errors with a probability determined by the Forward Channel.

  Distributed Processing of Packets   NewIn this demonstration, we show how to model a central resource that manages distributed processing of packets as outlined by an algorithm.
 

Queuing Systems


  Modeling a Queuing System   New

  Comparison of Routing Policies   NewIn this demonstration, we run three similar queuing systems in parallel under three routing policies: Shortest Queue, Probabilistic, and Round robin.
 

Architecture Modeling


  Shared Communication Buffer Management In this demonstration, we show the modeling of a buffer shared between the transmit and receive buffering functions in a low-cost device for efficient use of memory.

  Modeling a Multitasking Operating System   NewIn this demonstration, we show the scheduling and execution of tasks in a multitasking operating system. It also illustrates the aspect of task preemption and shows how to simulate the prioritization of the time-critical and non-time-critical parts of a process using dependent tasks.

  Rate-Based Shared Processor In this demonstration, we show one way to simulate a processor that works on multiple tasks by dividing its resources among them. In the model, the processing rate for each task changes based on the number of tasks being processed.
 

Industrial Automation and Manufacturing


  Distributed Processing for Multi-Class Jobs In this demonstration, we show how to model a central resource that manages distributed processing according to an explicit formula. The terminology in the model describes a distribution center that manages a series of processes that each job undergoes, where each job carries information about the series of processes that it must undergo.

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